3 citations · 11 across the 6 of their papers we have counts for
3 papers · 1 filter
Hierarchical reinforcement learning for efficient exploration and transfer
Lorenzo Steccanella, Simone Totaro, Damien Allonsius +1
Sparse-reward domains are challenging for reinforcement learning algorithms since significant exploration is needed before encountering reward for the first time. Hierarchical rein…
Lifelong Control of Off-grid Microgrid with Model Based Reinforcement Learning
Simone Totaro, Ioannis Boukas, Anders Jonsson +1
The lifelong control problem of an off-grid microgrid is composed of two tasks, namely estimation of the condition of the microgrid devices and operational planning accounting for…
Adaptive Smoothing Path Integral Control
Dominik Thalmeier, Hilbert J. Kappen, Simone Totaro +1
In Path Integral control problems a representation of an optimally controlled dynamical system can be formally computed and serve as a guidepost to learn a parametrized policy. The…